White matter hyperintensities and medication adherence

Cerebellar Microstructural Abnormalities in Obsessive-Compulsive Disorder (OCD): a Systematic Review of Diffusion Tensor Imaging Studies

Previous neuroimaging studies have suggested that obsessive-compulsive disorder (OCD) is associated with altered resting-state functional connectivity of the cerebellum. In this study, we aimed to describe the most significant and reproducible microstructural abnormalities and cerebellar changes associated with obsessive-compulsive disorder (OCD) using diffusion tensor imaging (DTI) investigations. PubMed and EMBASE were searched for relevant studies using the PRISMA 2020 protocol. A total of 17 publications were chosen for data synthesis after screening titles and abstracts, full-text examination, and executing the inclusion criteria. The patterns of cerebellar white matter (WM) integrity loss, determined by fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) metrics, varied across studies and symptoms. Changes in fractional anisotropy (FA) values were described in six publications, which were decreased in four and increased in two studies. An increase in diffusivity parameters of the cerebellum (i.e., MD, RD, and AD) in OCD patients was reported in four studies. Alterations of the cerebellar connectivity with other brain areas were also detected in three studies. Heterogenous results were found in studies that investigated cerebellar microstructural abnormalities in correlation with symptom dimension or severity. OCD's complex phenomenology may be characterized by changes in cerebellar WM connectivity across wide networks, as shown by DTI studies on OCD patients in both children and adults. Classification features in machine learning and clinical tools for diagnosing OCD and determining the prognosis of the disorder might both benefit from using cerebellar DTI data.

White matter abnormalities in paediatric obsessive-compulsive disorder: a systematic review of diffusion tensor imaging studies

Microstructural alterations in white matter are evident in obsessive-compulsive disorder (OCD) both in adult and paediatric populations. Paediatric patients go through the process of maturation and thus may undergo different pathophysiology than adult OCD. Findings from studies in paediatric obsessive-compulsive disorder have been inconsistent, possibly due to their small sample size or heterogeneous populations. The aim of this review is to provide a comprehensive overview of white matter structures in paediatric obsessive-compulsive disorder and their correlation with clinical features. Based on PRISMA guidelines, we performed a systematic search on diffusion tensor imaging studies that reported fractional anisotropy, mean diffusivity, radial diffusivity, or axial diffusivity alterations between paediatric patients with obsessive-compulsive disorder and healthy controls using voxel-based analysis, or tract-based spatial statistics. We identified fifteen relevant studies. Most studies reported changes predominantly in the corpus callosum, cingulum, arcuate fasciculus, uncinate fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, inferior fronto-occipital fasciculus, corticospinal tract, forceps minor and major, and the cerebellum in paediatric obsessive-compulsive disorder. These alterations included increased and decreased fractional anisotropy and radial diffusivity, and increased mean and axial diffusivity in different white matter tracts. These changes were associated with obsessive-compulsive disorder symptoms. Moreover, specific genetic polymorphisms were linked with cerebellar white matter changes in paediatric obsessive-compulsive disorder. White matter changes are widespread in paediatric OCD patients. These changes are often associated with symptoms however there are controversies in the direction of changes in some tracts.

Association between cognitive function and self-reported antihypertensive medication adherence among middle-aged and older hypertensive women

DESIGN

This study applied a cross-sectional, descriptive correlational design.

AIMS AND OBJECTIVES

The purpose of the study was to examine the relationship between cognitive function and self-reported antihypertensive medication adherence in middle-aged and older hypertensive women.

BACKGROUND

Although medication adherence is an essential key for preventing complications from hypertension, poor medication adherence is common among middle-aged and older hypertensive women. Taking medications involves a cognitive process. Little is known about the contribution of cognitive function to adherence to antihypertensive medication in middle-aged and older women.

METHODS

This study used a convenience sample of 137 women aged ≥50 years recruited from a medical centre in southern Taiwan. Participants completed a survey of demographic and clinical information and self-reported medication adherence, and received cognitive function tests. Hierarchical regression analyses were used to evaluate the association between cognitive function and medication adherence. This study followed the STROBE guidelines.

RESULTS

More than one-fourth of the women (27%) reported poor adherence. Women with poor adherence appeared to have a significantly lower memory than women with good adherence. Memory was positively associated with antihypertensive medication adherence after controlling for age, blood pressure and duration of hypertension. Working memory, executive function and psychomotor speed were not significantly related to antihypertensive medication adherence.

CONCLUSIONS

Reduced memory function was associated with poorer antihypertensive medication adherence among middle-aged and older women. Middle-aged and older women with hypertension and poor memory performance are at risk of poor medication adherence. Future prospective studies examining the causal relationship between cognitive function and antihypertensive medication adherence are warranted.

RELEVANCE TO CLINICAL PRACTICE

Nurses could evaluate the memory of middle-aged and older hypertensive women when assessing antihypertensive medication adherence in clinical practice and provide relevant interventions.

Cognitive function and treatment adherence in older adults with heart failure

OBJECTIVE

Treatment recommendation and guidelines for patients with heart failure (HF) can be complex, and past work has shown that patients with HF demonstrate low rates of adherence to recommended health behaviors. Although previous work has identified several medical, demographic, and psychosocial predictors of the capacity to adhere to treatment recommendations of persons with HF, little is known about the contribution of cognitive impairment to reported treatment adherence in this population.

METHODS

A total of 149 persons with HF (mean [standard deviation] = 68.08 [10.74] years) completed a brief fitness assessment and neuropsychological testing. Treatment adherence was assessed using the Heart Failure Compliance Questionnaire, a brief measure that asks participants to report their adherence to a variety of recommended health behaviors (i.e., medication management, diet, and exercise, among others).

RESULTS

The percentage of participants who reported poor overall adherence was 16.1%, with particularly high rates of nonadherence to dietary and exercise recommendations. Hierarchical regression analyses adjusting for possible confounds revealed that reduced performance on attention (β = .26, p = .01), executive function (β = .18, p = .04), and language (β = .22, p = .01) was associated with poorer overall adherence. Follow-up analyses showed that these cognitive domains were associated with behaviors such as keeping doctor appointments, medication management, and dietary recommendations (p < .05 for all).

CONCLUSIONS

The current findings demonstrate that cognitive function is an independent contributor to adherence in older adults with HF. Prospective studies that objectively measure treatment adherence are needed to clarify these findings and identify possible strategies to improve outcomes in this population.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT00871897.